13 datasets found
  1. a

    USA 2020 Census Population Characteristics - Place Geographies

    • hub.arcgis.com
    • city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com
    • +1more
    Updated May 25, 2023
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    Vancouver Online Maps (2023). USA 2020 Census Population Characteristics - Place Geographies [Dataset]. https://hub.arcgis.com/datasets/8fe7368fd2024ed183572566a8fe96c3
    Explore at:
    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    Vancouver Online Maps
    Area covered
    Description

    This CSV file shows total population counts by sex, age, and race groupsdata from the2020 CensusDemographic andHousing Characteristics. Thisisshown by Nation, Consolidated City, Census Designated Place, Incorporated Placeboundaries. Eachgeographylayercontainsa common set of Census countsbased on available attributes from the U.S. Census Bureau. There are alsoadditionalcalculated attributes related to this topic, which can be mapped or used within analysis.  Vintageof boundaries and attributes:2020Demographic andHousing CharacteristicsTable(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this file.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDatethe Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layerThe United States Census BureauDemographic andHousing Characteristics:2020 Census Results2020 Census Data QualityGeography &2020 CensusTechnical DocumentationData Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & UpdatesData Processing Notes:These 2020 Census boundaries come from the US Census TIGER geodatabases.These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. ForCensustractsand block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square metersor larger (mid tolarge sizedwater bodies) are erased from the tractand block groupboundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased tomore accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters). The layercontainsall US states, Washington D.C., and Puerto Rico.Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can beidentifiedby the "_calc_" stub in the field name).Field alias names were created based on the Table Shells file available from the Data Table Guide for theDemographic Profile and Demographic andHousing Characteristics.Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected usingdifferential privacy techniquesby the U.S. Census Bureau.

  2. a

    US Census 2020 Population Quick Facts -- City of Vancouver

    • hub.arcgis.com
    • city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com
    • +1more
    Updated May 24, 2024
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    Vancouver Online Maps (2024). US Census 2020 Population Quick Facts -- City of Vancouver [Dataset]. https://hub.arcgis.com/maps/ee6efc14376a4378b39fb1dfe4cde352
    Explore at:
    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Vancouver Online Maps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The composite layer in this map shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, Consolidated City, Census Designated Place, Incorporated Place boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   By default, only the City of Vancouver "Incorporated Place" layer is visible and filtered to Vancouver; you may remove the filter and/or reveal other geographies using Map Browser settings. Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates

  3. N

    Vancouver, WA Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Vancouver, WA Age Group Population Dataset: A Complete Breakdown of Vancouver Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aabf93d5-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Vancouver population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Vancouver. The dataset can be utilized to understand the population distribution of Vancouver by age. For example, using this dataset, we can identify the largest age group in Vancouver.

    Key observations

    The largest age group in Vancouver, WA was for the group of age 25 to 29 years years with a population of 15,652 (8.21%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Vancouver, WA was the 80 to 84 years years with a population of 3,670 (1.92%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Vancouver is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Vancouver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

  4. N

    Vancouver, WA Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Vancouver, WA Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f053b576-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Vancouver, WA population pyramid, which represents the Vancouver population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Vancouver, WA, is 27.4.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Vancouver, WA, is 24.5.
    • Total dependency ratio for Vancouver, WA is 51.9.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Vancouver, WA is 4.1.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Vancouver population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Vancouver for the selected age group is shown in the following column.
    • Population (Female): The female population in the Vancouver for the selected age group is shown in the following column.
    • Total Population: The total population of the Vancouver for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

  5. N

    Vancouver, WA Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Vancouver, WA Age Cohorts Dataset: Children, Working Adults, and Seniors in Vancouver - Population and Percentage Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/c131271d-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Vancouver population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Vancouver. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 118,923 (62.36% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Vancouver population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Vancouver is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Vancouver is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

  6. N

    Vancouver, WA households by income brackets: family, non-family, and total,...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Vancouver, WA households by income brackets: family, non-family, and total, in 2023 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/research/datasets/665b0caf-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in Vancouver, WA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Vancouver, WA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Vancouver households based on income levels.

    Key observations

    • For Family Households: In Vancouver, the majority of family households, representing 16.86%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 1.33%, have incomes falling $20,000 to $24,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Vancouver, the majority of non-family households, accounting for 13.5%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 3.76%, earn $20,000 to $24,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Vancouver, WA (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in Vancouver, WA
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in Vancouver, WA
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Vancouver, WA

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver median household income. You can refer the same here

  7. N

    Vancouver, WA households by income brackets: family, non-family, and total,...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
    Share
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    Cite
    Neilsberg Research (2024). Vancouver, WA households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/research/datasets/8b4c2849-747c-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in Vancouver, WA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Vancouver, WA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Vancouver households based on income levels.

    Key observations

    • For Family Households: In Vancouver, the majority of family households, representing 15.92%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 1.92%, have incomes falling $150,000 to $199,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Vancouver, the majority of non-family households, accounting for 11.68%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 2.8%, earn $150,000 to $199,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Vancouver, WA (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in Vancouver, WA
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in Vancouver, WA
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Vancouver, WA

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver median household income. You can refer the same here

  8. a

    Daily vehicle miles traveled

    • hub.arcgis.com
    • regionalbarometer.oregonmetro.gov
    • +1more
    Updated Feb 26, 2020
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    Metro (2020). Daily vehicle miles traveled [Dataset]. https://hub.arcgis.com/documents/drcMetro::daily-vehicle-miles-traveled
    Explore at:
    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    Metro
    Description

    The sample geographic areas for VMT are based on the 'Census Defined Urban Areas' and change every 10 years, as the census data changes. These 'Census Defined Urban Areas' differ from the city boundaries. It is important to note that there is a time lag between when the census data was collected and the implementation of the new 'Census Defined Urban Area or Boundary'. In the above graph, the implementation of the 1990 Census boundary does not appear until 1993 for Portland, OR only (noted by the uptick in the curve in 1993). The use of the new 2000 Census Boundary did not occur until 2004, for Portland, OR only; note a similar increase upward in the graph in 2004. However, the data shown above for 2010 is based on the 2010 Census population and the updated Defined Urban Area or Boundary. The 2011-18 figures likewise use the updated 2010 Census information and were adjusted for population changes in 2011-18.

    2009-2018 Data Sources: The data for Portland, OR was received from the ODOT, Oregon Highway Performance Monitoring System (HPMS) office in Salem, Oregon. The information for Vancouver, WA was received from the Washington State DOT, HPMS office in Olympia, Washington. These data were the official state's submittals to the Federal Highway Administration's (FHWA) Office in Washington, D.C. The 2010-2013 data are based on the 2010 Census and updates.

    1990-2008 Urban Areas & National Average Data Sources: The data is from information published by the U.S. Federal Highway Administration (FHWA) in Washington, D.C. The DVMT/ Person can be located in the FHWA's publication 'Highway Statistics'; 4.4.5 Urbanized Area Summaries, Section 4.4.5.2, Selected Characteristics, Table HM-72. The website for the 'Highway Statistics' series is located at: http://www.fhwa.dot.gov/policyinformation/statistics.cfm The 2008 data is located at: http://www.fhwa.dot.gov/policyinformation/statistics/2008/hm72.cfm The 2008 and earlier National Average of DVMT/ Person, are calculated by dividing the 'Total DVMT' for all Federal-Aid Urban Areas, by total 'Estimated Population' as it appears on Sheet 9 of Table HM-72, which lists all the Federal-Aid Urbanized Areas in the U.S.

    2009-2018 Urban Areas & National Average Data Sources: Figures were not published for 2009 by the FHWA. 2010 urban area data was published in Table HM-71, at: http://www.fhwa.dot.gov/policyinformation/statistics/2010/hm71.cfm However; the data was based on the year 2000 population, it was not adjusted for 2010, and not useful in calculations. The FHWA did publish Table HM-71 in February 2013, with updated 2011 urban area data, located: http://www.fhwa.dot.gov/policyinformation/statistics/2011/hm71.cfm The population and travel agree with information received from Oregon's and Washington's HPMS offices. In order to show a continuous graph line for 2009-10, the 2008 National DVMT/person information was averaged with the 2011 data. The 2011 national figure is the average for all 498 urbanized areas listed in the Table HM-71. 2012 urban area data was published in Table HM-71, at: http://www.fhwa.dot.gov/policyinformation/statistics/2012/hm71.cfm However, since the data was based on the year 2000 population (i.e., identical issue with FHWA 2010 data), it was not in included in these DVMT calculations. 2013 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2013/hm72.cfm 2014 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2014/hm72.cfm 2015 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2015/hm72.cfm 2016 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2016/hm72.cfm 2017 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2017/hm72.cfm 2018 urban area data was published in Tables HM-72, at: https://www.fhwa.dot.gov/policyinformation/statistics/2018/hm72.cfm

    "A Federal-Aid Urbanized Area is an area with 50,000 or more persons that, at a minimum, encompasses the land area delineated as the urbanized area by the Bureau of the Census." (from Sheet 8, in Table HM-71, as noted above). Portland-Vancouver, OR-WA is a Federal-Aid Urbanized Area (UZA-27). The geographic area for each component (the Oregon and Washington portions of the Portland-Vancouver data set) are uniquely defined by the FHWA.

  9. F

    Total Quarterly Wages in Portland-Vancouver-Hillsboro, OR-WA (MSA)

    • fred.stlouisfed.org
    json
    Updated Mar 5, 2025
    + more versions
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    (2025). Total Quarterly Wages in Portland-Vancouver-Hillsboro, OR-WA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ENUC389030010SA
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    jsonAvailable download formats
    Dataset updated
    Mar 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Portland Metropolitan Area, Oregon
    Description

    Graph and download economic data for Total Quarterly Wages in Portland-Vancouver-Hillsboro, OR-WA (MSA) (ENUC389030010SA) from Q1 1990 to Q3 2024 about Portland, OR, WA, wages, and USA.

  10. N

    Vancouver, WA Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Vancouver, WA Age Group Population Dataset: A Complete Breakdown of Vancouver Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/454ce79f-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Vancouver population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Vancouver. The dataset can be utilized to understand the population distribution of Vancouver by age. For example, using this dataset, we can identify the largest age group in Vancouver.

    Key observations

    The largest age group in Vancouver, WA was for the group of age 25 to 29 years years with a population of 15,784 (8.19%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Vancouver, WA was the 80 to 84 years years with a population of 3,700 (1.92%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Vancouver is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Vancouver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

  11. F

    Average Weekly Wages for Employees in Total Covered Establishments in...

    • fred.stlouisfed.org
    json
    Updated Mar 5, 2025
    + more versions
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    (2025). Average Weekly Wages for Employees in Total Covered Establishments in Portland-Vancouver-Hillsboro, OR-WA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ENUC389040010SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Portland Metropolitan Area, Oregon
    Description

    Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Portland-Vancouver-Hillsboro, OR-WA (MSA) (ENUC389040010SA) from Q1 1990 to Q3 2024 about covered, Portland, OR, establishments, WA, average, wages, employment, and USA.

  12. a

    Census Tracts(2010 boundaries)

    • city-of-vancouver-strategic-plan-dashboard-cityofvancouver.hub.arcgis.com
    • city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com
    • +1more
    Updated Oct 31, 2023
    + more versions
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    Vancouver Online Maps (2023). Census Tracts(2010 boundaries) [Dataset]. https://city-of-vancouver-strategic-plan-dashboard-cityofvancouver.hub.arcgis.com/datasets/census-tracts2010-boundaries
    Explore at:
    Dataset updated
    Oct 31, 2023
    Dataset authored and provided by
    Vancouver Online Maps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    These data represent 2010 Census Tract boundaries in Vancouver, WA. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for 2010 Census Tracts boundaries within the study area. Planting site prioritization criteria have also been summarized at this scale.

  13. N

    Median Household Income by Racial Categories in Vancouver, WA (2022)

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income by Racial Categories in Vancouver, WA (2022) [Dataset]. https://www.neilsberg.com/research/datasets/36981d98-8904-11ee-9302-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Vancouver
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Vancouver. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Vancouver population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 76.50% of the total residents in Vancouver. Notably, the median household income for White households is $77,997. Interestingly, despite the White population being the most populous, it is worth noting that American Indian and Alaska Native households actually reports the highest median household income, with a median income of $120,379. This reveals that, while Whites may be the most numerous in Vancouver, American Indian and Alaska Native households experience greater economic prosperity in terms of median household income.

    https://i.neilsberg.com/ch/vancouver-wa-median-household-income-by-race.jpeg" alt="Vancouver median household income diversity across racial categories">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Vancouver.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Vancouver median household income by race. You can refer the same here

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Vancouver Online Maps (2023). USA 2020 Census Population Characteristics - Place Geographies [Dataset]. https://hub.arcgis.com/datasets/8fe7368fd2024ed183572566a8fe96c3

USA 2020 Census Population Characteristics - Place Geographies

Explore at:
Dataset updated
May 25, 2023
Dataset authored and provided by
Vancouver Online Maps
Area covered
Description

This CSV file shows total population counts by sex, age, and race groupsdata from the2020 CensusDemographic andHousing Characteristics. Thisisshown by Nation, Consolidated City, Census Designated Place, Incorporated Placeboundaries. Eachgeographylayercontainsa common set of Census countsbased on available attributes from the U.S. Census Bureau. There are alsoadditionalcalculated attributes related to this topic, which can be mapped or used within analysis.  Vintageof boundaries and attributes:2020Demographic andHousing CharacteristicsTable(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this file.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDatethe Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layerThe United States Census BureauDemographic andHousing Characteristics:2020 Census Results2020 Census Data QualityGeography &2020 CensusTechnical DocumentationData Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & UpdatesData Processing Notes:These 2020 Census boundaries come from the US Census TIGER geodatabases.These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. ForCensustractsand block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square metersor larger (mid tolarge sizedwater bodies) are erased from the tractand block groupboundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased tomore accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters). The layercontainsall US states, Washington D.C., and Puerto Rico.Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can beidentifiedby the "_calc_" stub in the field name).Field alias names were created based on the Table Shells file available from the Data Table Guide for theDemographic Profile and Demographic andHousing Characteristics.Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected usingdifferential privacy techniquesby the U.S. Census Bureau.

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